Loss Averaging

What is Loss Averaging?

Loss averaging, sometimes called "adding to losers", is the act of buying more of a position that is already in a loss, with the goal of reducing the average entry price. In equity investing with a multi-year horizon, it can make sense. In intraday trading or options buying, it is almost always catastrophic. When you buy a Nifty CE that's down 30%, then buy more, you haven't improved your position, you've increased your exposure to a trade that the market has already told you is wrong. Options have a terminal date. They don't recover on conviction. The market doesn't care about your average. It moves where it moves. Adding to a loser doubles the size of the mistake.

Signs you're doing it

What it costs you

The maths are unambiguous. If you buy 2 lots of a CE at ₹100 and it falls to ₹70, you're down ₹6,000. If you buy 2 more lots at ₹70, your average is ₹85, but your exposure is now ₹17,000 worth of premium, and a further 30% fall wipes ₹10,200 instead of ₹4,200. Loss averaging transforms a limited, manageable loss into a position-of-conviction that requires the market to reverse specifically for you. It turns a small mistake into a session-defining one. The accounts that blow up in Indian options markets are almost never destroyed by a single bad trade, they're destroyed by the averaging that followed it.

How SubTrades detects it

SubTrades reads your trade sequences and identifies sessions where you made multiple entries in the same instrument and direction while P&L was negative. It flags the trades where your lot size increased as the position moved against you. It shows you the total P&L of those sessions compared to your single-entry sessions. You don't need to label these trades. SubTrades reads the data, the timestamps, the lots, the direction, the P&L, and surfaces the pattern. If loss averaging is in your tradebook, SubTrades will find it.